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mcp-validation-server

by devops-gm88
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    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A4.4/5.0

    Scored across 4 tools

    Disambiguation4/5

    Each tool targets a distinct data-quality operation: contract-based row validation, arithmetic reconciliation, entity counting, and duplicate detection. The only overlap is that count_distinct and duplicate_report both consume rows+key, but their stated purposes (counting vs. reviewing suspects) are clearly separated by the descriptions.

    Naming Consistency3/5

    The set mixes conventions: validate_rows and count_distinct follow a verb_noun pattern, while reconcile is a bare verb and duplicate_report is noun_noun. All are readable and snake_case, but there is no single predictable rule.

    Tool Count5/5

    Four tools is well-scoped for a tabular data-validation server; each covers a distinct, classic quality check (row validity, closure, distinctness, duplication) and none feels redundant or padded.

    Completeness4/5

    The surface covers the core data-quality checks and is deliberately read-only, with clear reporting rather than repair. A gap remains for cross-column/cross-table consistency (e.g. referential integrity between datasets) and schema inference, but core workflows are fully addressed.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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